RESUMO
The genic multiple-allele inherited male-sterile gene Ms in Chinese cabbage (Brassica rapa L.) was identified as a spontaneous mutation. Applying this gene to hybrid seed production, several B. rapa cultivars have been successfully bred in China. A BC(1) population (244 plants) was constructed for mapping the Ms gene. Screening 268 simple sequence repeat (SSR) markers which cover the entire genome of Chinese cabbage was performed with bulked segregant analysis (BSA). On the basis of linkage analysis, the Ms gene was located on linkage group R07. In addition, through the amplified fragment length polymorphism (AFLP) and the sequence-characterized amplified region (SCAR) techniques combining BSA, two SCAR markers which were converted from corresponding AFLP markers flanked the Ms gene. Finally, a genetic map of the Ms gene was constructed covering a total interval of 9.0 cM. Two SCAR markers, syau_scr01 and syau_scr04, flanked the Ms gene at distances of 0.8 and 2.5 cM, respectively. All the SSR markers (cnu_m273, cnu_m030, cnu_m295, and syau_m13) were mapped on the same side of the gene as syau_scr04, the nearest one of which, syau_m13, was mapped at a distance of 3.3 cM. These SSR and SCAR markers may be useful in marker-assisted selection and map-based cloning.
Assuntos
Alelos , Brassica rapa/genética , Mapeamento Cromossômico , Genes de Plantas , Repetições de Microssatélites/genética , Infertilidade das Plantas/genética , Polimorfismo Genético , Análise do Polimorfismo de Comprimento de Fragmentos Amplificados , Segregação de Cromossomos , Ligação Genética , Marcadores Genéticos , GenótipoRESUMO
A method was established to determine water content of fresh meat in deep layer based on NIRS diffusion reflectance spectroscopy by using LEDs. The experimental apparatus was established to investigate internal water content with repeated experiments for pork and mince pork; the water concentration and the water content detected by standard method is linear, and the r2 is larger than 0.90. Calculation of coefficient of variability (CV) and intra class correlation (ICC) procedures were applied to assess test-retest reliability of this measuring method. The CV and ICC values were found to be good (CV < or = 5%; ICC = 0.83). The experimental result indicated that the fast non-invasive measurement method for detecting water content in deep layer of fresh meat based on spatially-resolved spectroscopy was feasible.
